AI Data Architect

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract Independent
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Data Architect
  • AI
  • RAG
  • LLM
  • DATA Engineering
  • SQL
  • ETL

Summary

Senior Data Architect / Lead Data Engineer
Remote

Role Overview

We are looking for a Senior Data Architect / Lead Data Engineer who can both design and build modern enterprise data solutions.
This is a hands-on architecture role. The ideal candidate can define architecture, model data, design pipelines, make technology decisions, troubleshoot production issues, and work directly with engineers and clients to deliver real solutions.
The primary focus is data architecture and data engineering
Experience with AI, RAG, semantic layers, knowledge graphs, or context engineering is highly preferred, but we are open to strong data professionals who are deeply curious and committed to becoming AI-native.
 
Must-Have Experience
  • 8 to 15+ years of experience in data architecture, data engineering, integration, analytics, or cloud data platforms.
  • Strong hands-on SQL and data engineering experience.
  • Practical experience with Snowflake, Databricks, Spark, dbt, Python, AWS, Azure, Google Cloud Platform, or similar technologies.
  • Strong understanding of data warehousing, data lake, lakehouse, and modern cloud data architecture.
  • Experience designing production pipelines using ETL, ELT, CDC, APIs, orchestration, and batch processing.
  • Strong data modeling skills, including canonical, logical, physical, and dimensional modeling.
  • Ability to design restartable, auditable, and production-grade data pipelines.
  • Good understanding of data quality, metadata, lineage, governance, security, and access controls.

 

Experience in any of the following areas is a strong plus:

  • RAG, GraphRAG, LLMs, AI agents, or enterprise AI platforms.
  • Knowledge graphs, graph databases, ontologies, or semantic modeling.
  • Enterprise semantic layers, metric definitions, business glossaries, or data catalogs.
  • Vector databases, hybrid search, metadata-driven retrieval, or AI grounding.
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91109480
  • Position Id: 9014903
  • Posted 4 hours ago
Contact the job poster
SB

Shravan Bachhali

Recruiter @ Spiceorb
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